Online learning from capricious data streams via shared and new feature spaces DOI
Peng Zhou, Shuai Zhang, Lin Mu

et al.

Applied Intelligence, Journal Year: 2024, Volume and Issue: 54(19), P. 9429 - 9445

Published: July 16, 2024

Language: Английский

Multiband THz MIMO antenna with regression machine learning techniques for isolation prediction in IoT applications DOI Creative Commons

Md Ashraful Haque,

Kamal Hossain Nahin,

Jamal Hossain Nirob

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 5, 2025

Language: Английский

Citations

3

Intelligent Measuring of the Volume Fraction Considering Temperature Changes and Independent Pressure Variations for a Two-Phase Homogeneous Fluid Using an 8-Electrode Sensor and an ANN DOI Creative Commons
Ramy Mohammed Aiesh Qaisi, Farhad Fouladinia, Abdulilah Mohammad Mayet

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(15), P. 6959 - 6959

Published: Aug. 5, 2023

Two-phase fluids are widely utilized in some industries, such as petrochemical, oil, water, and so on. Each phase, liquid gas, needs to be measured. The measuring of the void fraction is vital many industries because there two-phase with a wide variety liquids. A number methods exist for fraction, most popular capacitance-based sensors. Aside from being easy use, sensor does not need any separation or interruption measure fraction. In addition, contemporary era, thanks Artificial Neural Networks (ANN), measurement have become much more accurate. same can said this paper, new metering system utilizing an 8-electrode Multilayer Perceptron network (MLP) presented predict air water volume fractions homogeneous fluid. Some characteristics, temperature, pressure, etc., impact on results obtained aforementioned sensor. Thus, considering temperature changes, proposed predicts independent pressure variations. All simulations were performed using COMSOL Multiphysics software changes 275 370 degrees Kelvin. range 1 500 Bars, was considered pressure. has inputs mentioned software, along temperature. only output belongs predicted which low MAE equal 0.38. based result, it that precisely measures amount

Language: Английский

Citations

9

Virtual worlds, real opportunities: A review of marketing in the metaverse DOI Creative Commons
Harish Kumar

Acta Psychologica, Journal Year: 2024, Volume and Issue: 250, P. 104517 - 104517

Published: Oct. 1, 2024

Metaverse, as an emerging phenomenon, presents businesses with new opportunities to create user-centered, interactive, and fully immersive products services that transcend the boundaries of physical digital reality. However, there is a lack understanding among academics business leaders regarding what metaverse how it can transform marketing landscape. By conducting systematic literature review 39 articles using 5W1H framework, study enhances comprehension in from both conceptual managerial perspectives. The delves into intricacies metaverse, examining its components, such 3D virtual world, avatars, interoperability, persistency, while exploring challenges. Specifically, highlights evolution 4P's their applications across diverse industries, ranging tourism education retailing beyond. provides comprehensive state-of-the-art literature. findings this guide future research on potential aid managers developing effective strategies related metaverse.

Language: Английский

Citations

3

Design of a microstrip Wilkinson power divider using a low pass filter with the particle swarm optimization algorithm DOI Creative Commons
Milad Mohammadi, Gholamreza Karimi,

Hesam Ghitasy Sarabi

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 31, 2024

Abstract In this paper, a microstrip Wilkinson power divider (MWPD) based on particle swarm optimization (PSO) algorithm is designed, simulated, and fabricated using novel resonators. addition, attenuators open-ended stubs are incorporated to generate broad cut-off band reduce unwanted harmonics. The proposed has central frequency of 1 GHz. performance each used resonator analyzed lumped-element circuit models.The L C parameters the equivalent resonators predicted optimized with assistance PSO method. subsequent phase was fabrication MWPD, after which its evaluated in light results obtained from simulation. It discovered that there high degree concordance between two. On other hand, several benefits, including suitable S 12 − 3.15 dB, return loss less than 24 dB at operating frequency, compact size 0.058 $${\varvec{\lambda}}_{{\varvec{g}}}$$ λ g × 0.064 , ability remove undesired show level suppression harmonics (up 16th harmonic) great responsiveness passband, while having very low ripple. As result, may be wide variety electronic devices, such as radar transmitter receiver circuits, many high-frequency systems.

Language: Английский

Citations

2

Spoof Surface Plasmon Polariton Based on Stepped Grooves and Its Application in Compact Low-Pass Filter Design DOI
Chao Pang,

Rui-Feng Cao,

Lin Li

et al.

Plasmonics, Journal Year: 2023, Volume and Issue: 19(3), P. 1245 - 1255

Published: Oct. 4, 2023

Language: Английский

Citations

5

Design of a Microwave Quadrature Hybrid Coupler with Harmonic Suppression Using Artificial Neural Networks DOI Creative Commons
Saeed Roshani, Salah I. Yahya, Maher Assaad

et al.

Active and Passive Electronic Components, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 15

Published: March 11, 2024

In this paper, a compact and simple structure of an elliptic microstrip lowpass filter (LPF) is designed for harmonic suppression in microwave quadrature hybrid coupler (QHC) applications. A radial resonator rectangular are used to produce LPF. The proposed LPF on the outer sides branch line coupler, which has improved suppression. Furthermore, artificial neural networks (ANNs) incorporated improve design process. best obtained using ANN model. size, only occupies 16.4 mm × 7.3 equals 0.164 λg 0.073 λg, cut frequency 2.2 GHz, shows sharp transmission band with roll-off rate 158.3 dB/GHz. Finally, deigned QHC operates correctly at 1 high ability. provides wide from 2.25 GHz up more than 14 can effectively suppress 3rd, 14th harmonics. features desirable parameters S11, S21, S31, S41, magnitude −21 dB, −3.4 −3.3 −22.5 operating frequency. approach mitigates complexity circuit fabrication, compared previous methods while achieved performances QHC.

Language: Английский

Citations

1

Meander Structure Analysis Techniques Using Artificial Neural Networks DOI Creative Commons
Diana Belova-Plonienė, Audrius Krukonis, Vytautas Abromavičius

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(13), P. 5766 - 5766

Published: July 1, 2024

Typically, analyses of meander structures (MSs) for transfer characteristics are conducted using specialized commercial software based on numerical methods. However, these methods can be time-consuming, particularly when a researcher is seeking to perform preliminary study the designed structures. This aims explore application neural networks in design and analysis Three different feedforward network (FFNN), time delay (TDNN), convolutional (CNN) techniques were investigated this article. The geometric dimensions or top-view images 369 used training an FFNN, TDNN, CNN. predict such electrodynamic parameters as (td), reflection coefficient (S11), transmission (S21) 0–10 GHz frequency band. A sufficiently low mean absolute error (MAE) was achieved with all three MSs. Using characteristic td predicted 3.3 ps average MAE. S21 0.64 dB MAE, S11 2.47 TDNN allowed MAEs reduced 0.9 ps, 0.11 dB, 1.63 respectively. CNN, 27.5 0.44 1.36 use has accelerating procedure from approximately 120 min less than 5 min.

Language: Английский

Citations

1

A neural networks approach for designing compact all-optical photonic crystal based AND logic gate DOI
Fariborz Parandin, Salah I. Yahya,

Mehdi Rezaeenia

et al.

Journal of Optical Communications, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 5, 2023

Abstract This paper introduces a new method for creating an all-optical AND gate by utilizing two-dimensional photonic crystal configuration the first time. design is intended applications in optical computing and logic, offering potential rapid computation parallel processing. The described characterized its compact dimensions comprises two inputs single output. high low logic states are defined based on power values, where 0 corresponds to 1 emitted from light source. To enhance process, artificial neural networks (ANNs) utilized. ANNs offer powerful tool optimizing fine-tuning structure parameters achieve desired functionality. With help of applied ANNs, process eased performance achieved proposed structure. By integrating into this research opens up possibilities advancing field circuits. Combining crystals ANN optimization provides approach designing complex efficient systems. results show that obtained values state state, which verifies accuracy table. accurate verify validity achieving precise reliable operations.

Language: Английский

Citations

2

Cost-Efficient Two-Level Modeling of Microwave Passives Using Feature-Based Surrogates and Domain Confinement DOI Open Access
Anna Pietrenko-Dąbrowska, Sławomir Kozieł, Qi‐Jun Zhang

et al.

Electronics, Journal Year: 2023, Volume and Issue: 12(17), P. 3560 - 3560

Published: Aug. 23, 2023

A variety of surrogate modeling techniques has been utilized in high-frequency design over the last two decades. Yet, curse dimensionality still poses a serious challenge setting up reliable design-ready surrogates modern microwave components. The difficulty task is only aggravated by nonlinearity circuit responses. Consequently, constructing practically usable model, valid across extended ranges material, geometry, and operational parameters, far from easy. As matter fact, conventional are merely capable building models for structures featuring relatively small number designable parameters within reduced thereof. One possible way mitigating these obstacles may be employment recently proposed two-stage performance-driven approach. Therein, model domain narrowed down to section space where vectors adequate quality located, thereby permitting significantly reducing cost acquiring training data. Seeking even further reduction, this work introduces novel framework, which exploits problem-specific knowledge extracted responses achieve substantial cost-savings data acquisition. In our methodology, procedure targets response features instead complete characteristic locations response, such as relevant minima or maxima selected frequency bands. dependency coordinates said on dimensions considerably less nonlinear than observed characteristics, enables sizable reduction acquisition cost. Numerical validation involving three corroborates its remarkable efficiency, allows using handful samples.

Language: Английский

Citations

1

Online learning from capricious data streams via shared and new feature spaces DOI
Peng Zhou, Shuai Zhang, Lin Mu

et al.

Applied Intelligence, Journal Year: 2024, Volume and Issue: 54(19), P. 9429 - 9445

Published: July 16, 2024

Language: Английский

Citations

0